dynamic neuro-fuzzy system
Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... adaptive fuzzy-neuro-wavelet dynamic sliding-mode control (AFDSC) system which is composed of a neural controller and a switching compensator is ...A dynamic sliding surface is proposed ...
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Advanced Dynamic Path Control of the Three Links SCARA Using Adaptive Neuro Fuzzy Inference System
... the system parameters being controlled change relatively very ...the dynamic response of the manipulator in accordance with some prespecified performance ...manipulator system are completely ignored, ...
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MODELING AND SIMULATION OF DYNAMIC VOLTAGE RESTORER (DVR) USING NEURO FUZZY INFERENCE SYSTEM
... Power Quality problem is the main concern in electricity industry. Power Quality includes a wide range of disturbances such as voltage sags/swells, flicker, harmonics distortion, impulse transient, and interruptions. And ...
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Autonomous obstacle avoidance and positioning control of mobile robots using fuzzy neural networks
... control system for a navigation and obstacle avoidance problem is developed, implemented and ...called fuzzy neural ...from fuzzy inference systems and artificial neural ...of fuzzy systems ...
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Modeling and control of 6 dof of industrial robot by using neuro fuzzy controller
... Adaptive Neuro-Fuzzy Inference System (ANFIS) based Computed Torque (PD) controller that were applied to the dynamic model of puma 600 robot arm ...to fuzzy controller in robustness ...
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... and dynamic topology, the conventional routing protocol should be manipulated to meet QoS requirements required for multimedia ...communication. Fuzzy Inference based System (Adaptive Neuro ...
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Uncertainty analysis through development of seismic fragility curve for an SMRF structure using an adaptive neuro-fuzzy inference system based on fuzzy C-means algorithm
... nonlinear dynamic analyses of structure for each simulated value of modeling ...history dynamic analysis and reduce the computational eort in the context of the previous ...
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Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system
... control system tools for achieving the desired control objectives ...a dynamic inversion controller for both altitude loop and attitude loop from a simplified mathematical model derived from generic YAMAHA ...
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Adaptive critic-based neuro-fuzzy controller for dynamic position of ships
... control system through evaluation of plant output and provides reinforcement signal namely ...control system has failed and should modify itself so that a reinforcement signal of value zero is achieved, ...
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Dynamic neuro-fuzzy systems for rainfall-runoff modelling
... based Fuzzy Inference System (ANFIS) developed by Jang (1993) is so far the most popular NFS model and has been widely used in different hydrologic time series ...
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Multidimensional Dynamic Modeling of Milk Ultrafiltration Using Neuro-Fuzzy Method and a Hybrid Physical Model
... Skim milk powder, used throughout the experiments, was reconstituted in warm distilled water (about 50°C). Twelve kilograms of reconstituted skim milk was prepared for each run. The same batch of dried milk was used in ...
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Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing
... adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and adaptive neuro-fuzzy inference-wavelet (ANFIS-Wavelet) were applied in to estimate wheat crop ...
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A Multitarget Tracking Video System Based on Fuzzy and Neuro-Fuzzy Techniques
... the system capabilities to solve complex sce- narios and improve tracking accuracy, with a satisfactory trade-o ff between system performance and computation ef- ...on neuro-fuzzy techniques, ...
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ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR OKRA YIELD PREDICTION
... the fuzzy sets in the ante- cedents and z = f(x, y) is a crisp function in the ...the system within the fuzzy region as specified by the ...Sugeno fuzzy model is formed which may be considered ...
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Classification of MRI Brain Images Using Neuro Fuzzy Model
... A neuro-fuzzy classifier is used to detect the abnormalities in the MRI brain images. Generally the input layer consist of seven neurons corresponding to the seven features. The output layer consist of one ...
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Online Full Text
... straightforward. Neuro-fuzzy technique implementation contains the following ...relevant fuzzy rules by competitive learning, elimination and combination of rules and adjustment of the parameters of ...
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A NOVEL PREPROCESSING SYSTEM USING EVOLUTIONARY NEURO FUZZY SYSTEM
... and fuzzy systems are dynamical, parallel processing systems that approximation input-output functions ...[12]. Fuzzy logic is capable of modeling ambiguity, handling vagueness and supporting human-type ...
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Title: Relevance of Neural Network in Fault Detection of Single Phase Induction Motor
... of Neuro fuzzy controller used in the advanced fuzzy logic fault detector for detecting the incipient motor faults in single phase induction ...of Fuzzy Systems and Neural Networks. From ...
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Medical image classification and symptoms detection using neuro fuzzy
... of neuro fuzzy systems in the classification and detection of data for MR images problems are not fully utilized ...of neuro fuzzy systems particularly in medical-related ...Furthermore, ...
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Implementation of Computational Intelligent Techniques for Diagnosis of Cancer Using Digital Signal Processor
... ANNs are massively distributed parallel processing systems made up of highly interconnected neural computing elements that have the ability to learn and thereby acquire knowledge and make it available for use [17]. ...
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